The graph represents a network of 4,487 Twitter users whose recent tweets contained "#WomeninTech", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 09 January 2023 at 15:48 UTC.
The tweets in the network were tweeted over the 10-day, 0-hour, 7-minute period from Friday, 30 December 2022 at 15:02 UTC to Monday, 09 January 2023 at 15:09 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 4487
Unique Edges : 9609
Edges With Duplicates : 14644
Total Edges : 24253
Number of Edge Types : 5
Mentions : 3295
MentionsInRetweet : 11515
Replies to : 525
Retweet : 7249
Tweet : 1669
Self-Loops : 2333
Reciprocated Vertex Pair Ratio : 0.0263545890158496
Reciprocated Edge Ratio : 0.0513557191596337
Connected Components : 484
Single-Vertex Connected Components : 276
Maximum Vertices in a Connected Component : 3592
Maximum Edges in a Connected Component : 23232
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.635291
Graph Density : 0.000553339756671599
Modularity : 0.362094
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,487 Twitter users whose recent tweets contained "#WomeninTech", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 09 January 2023 at 15:48 UTC.
The tweets in the network were tweeted over the 10-day, 0-hour, 7-minute period from Friday, 30 December 2022 at 15:02 UTC to Monday, 09 January 2023 at 15:09 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : #WomeninTech
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1343] #coding,#100daysofcode [1228] #ces,#ces2023 [1102] #python,#javascript [1026] #bigdata,#analytics [957] #fintech,#iot [949] #datascience,#bigdata [774] #flutter,#fintech [723] #iot,#tensorflow [715] #tensorflow,#womenintech [705] #javascript,#programming Top Word Pairs in Tweet in G1:
[1208] #coding,#100daysofcode [1152] #ces,#ces2023 [1002] #python,#javascript [945] #bigdata,#analytics [870] #datascience,#bigdata [863] #fintech,#iot [699] #flutter,#fintech [658] #iot,#tensorflow [654] #tensorflow,#womenintech [636] #javascript,#programming Top Word Pairs in Tweet in G2:
[133] #datamoney,#womenintech [129] #blockchain,#smartcontract [129] electraprotocol,#blockchain [127] #womenintech,#communitydriven [125] #smartcontract,#datamoney [122] #coding,#womenintech [121] #programming,#coding [117] #development,#opensource [115] #opensource,#crypto [111] #communitydriven,#development Top Word Pairs in Tweet in G3:
[58] #womenintech,#womeninstem [51] #coding,#100daysofcode [45] #womenwhocode,#womenintech [40] #ai,#machinelearning [38] #womenintech,#womenwhocode [37] #iot,#iiot [35] #fintech,#iot [34] #python,#javascript [30] #bigdata,#analytics [27] #datascience,#bigdata Top Word Pairs in Tweet in G4:
[24] women,tech [13] happy,year [10] #womenintech,#womeninstem [7] laura,nieto [7] unstoppable,#womenintech [7] #women,#womenintech [7] nieto,women [7] #womenintech,mean [7] means,unstoppable [7] tech,means Top Word Pairs in Tweet in G5:
[90] #womenintech,#womenempowerment [56] #womenintech,#wogitech [53] femalequotient,dominiquecrochu [53] dominiquecrochu,mixity_co [53] nad_alves,anthonybabkine [53] dpouponneau,madiseydi [53] anthonybabkine,christinesoto12 [53] madiseydi,nad_alves [53] mixity_co,dpouponneau [52] #womenempowerment,strong Top Word Pairs in Tweet in G6:
[46] #wtga2022,#womenintech [46] women,tech [26] happening,#wtga2022 [25] watch,2023 [24] tech,watch [24] executive,women [24] 100,executive [23] #womenintech,#leadership [22] vice,president [20] join,#wtga2022 Top Word Pairs in Tweet in G7:
[117] #womenwhocode,#womenintech [105] wakatime,goal [98] goal,coding [98] towards,wakatime [97] today,coded [92] mins,towards [91] #100daysofcode,today [86] #womenintech,#womenwhocode [55] coding,hrs [55] hrs,day Top Word Pairs in Tweet in G8:
[53] #wwcode,#womenintech [33] #wwcode,#womenwhocode [31] #shibgf,#womenintech [31] #womenwhocode,#womenintech [27] #womenwhocode,#wwcode [20] learn,more [16] shibgf,#1000x [15] #womenintech,#womenwhocode [14] #womenwhocode,shibgf [14] #womenintech,#girlswhocode Top Word Pairs in Tweet in G9:
[97] #womeninnfts,#womenintech [97] #womenintech,#womenincrypto [96] badass,women [96] jan,9th [76] getting,know [76] know,wonderful [76] reminder,join [76] join,space [76] called,beast [76] ll,talking Top Word Pairs in Tweet in G10:
[25] #womenintech,#womeninstem [13] uklabour,government [11] tech,industry [9] until,2060 [8] #adasarmy,#womenintech [8] #womenintech,#stem [8] empty,pledge [7] uklabour,gov [7] reflect,2022 [7] change,#womenintech Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: